Dr. Aamir Saghir | Surveillance | Best Researcher Award

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Dr. Aamir Saghir | Surveillance | Best Researcher Award

Dr. Aamir Saghir, Budapest University of Technology and Economics, Hungary

Dr. Aamir Saghir is an Associate Professor of Statistics in the Department of Statistics at Mirpur University of Science and Technology (MUST), Mirpur, Pakistan. He earned his Ph.D. in Statistics from Zhejiang University, Hangzhou, China, where his research focused on flexible and robust control charts for statistical process monitoring. Dr. Saghir has a strong academic background, having also completed his M.Phil. in Statistics from Quaid-e-Azam University, Islamabad, Pakistan, where he conducted research on Bayesian and classical approaches to monitoring process parameters. His professional career includes roles as a lecturer and assistant professor at various institutions, including MUST and the University of AJK. Dr. Saghir has contributed significantly to academia, having supervised numerous research projects, including a socio-economic survey and several research grants on tuberculosis treatment outcomes. His research interests primarily lie in statistical quality control, data analysis, probability models, and the application of machine learning methods in anomaly detection. He is a member of several professional boards and has participated in various training and professional development workshops. Dr. Saghir has also contributed to numerous professional events and conferences, further solidifying his reputation as an expert in his field.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Aamir Saghir, currently serving as an Associate Professor of Statistics at Mirpur University of Science and Technology (MUST), stands out as a seasoned academician and researcher with a distinguished career in statistical quality control, data analysis, and probabilistic modeling. His profile reflects a strong commitment to scholarly excellence, leadership, and applied research with real-world impact.

🎓 Education

  • Ph.D. in Statistics (2011–2014)
    🏛️ Zhejiang University, Hangzhou, China
    🎯 Thesis: Flexible and Robust Control Charts for Statistical Process Monitoring
    👨‍🏫 Supervisor: Prof. Zhengyan Lin

  • M.Phil. in Statistics (2006–2008)
    🏛️ Quaid-i-Azam University, Islamabad, Pakistan
    🎯 Thesis: Bayesian and Classical Approaches to Monitor Process Parameters
    👨‍🏫 Supervisor: Prof. Dr. Muhammad Aslam

  • M.Sc. in Statistics (2004–2006)
    🏛️ Quaid-i-Azam University, Islamabad, Pakistan
    🥇 First Position
    🎯 Thesis: Some New Approaches to Process Monitoring
    👨‍🏫 Supervisor: Mr. Muhammad Riaz

  • B.Sc. in Mathematics A & B / Statistics (2001–2003)
    🏛️ University of AJK, Muzaffarabad, Pakistan

💼 Work Experience

🧑‍🏫 Academic Positions

  • Associate Professor of Statistics
    📍 Mirpur University of Science and Technology (MUST), AJK, Pakistan
    ⏳ Since Aug 2017 – Present

  • Assistant Professor of Statistics
    📍 MUST, AJK
    ⏳ Jul 2014 – Aug 2017

  • Lecturer in Statistics
    📍 MUST, AJK
    ⏳ Nov 2010 – Jul 2014

  • Lecturer in Statistics
    📍 University of AJK, Muzaffarabad
    ⏳ Oct 2006 – Nov 2010

🧪 Research Positions

  • Research Associate
    🏛️ Budapest University of Technology and Economics, Hungary
    ⏳ Sep 2024 – Present

  • Postdoc Research Fellow
    🏛️ University of Pannonia, Veszprem, Hungary
    ⏳ Jan 2022 – Jan 2023

🏢 Administrative Roles

  • 📚 Chief Librarian, Ali Ahmad Shah Library (2023–2024)

  • 🎓 Founder Chairperson, Department of Statistics (2020–2022)

  • 💰 Treasurer/Chief Financial Officer (2019–2020)

  • 📝 Additional Controller (2017–2018)

  • 🗂 Assistant Director AS&RB (2015–2017)

🏆 Achievements & Awards

  • 🥇 First Position in M.Sc. Statistics

  • 🎓 China Scholarship Council (CSC) Award for Ph.D.

  • 📜 Distinguished Certificate in Ph.D. from Zhejiang University

  • ✅ HEC Approved Ph.D. Supervisor

  • 📊 Survey Supervisor: Socio-Economic Impact on Telecommunication (2008)

  • 👨‍🏫 Board Member:

    • Dept. of Statistics, University of Hazara

    • Dept. of Statistics, MUST

💰 Research Grants

  • 🧫 Treatment Outcomes in TB Patients (2015–16)
    🏛️ Funded by ORIC MUST – 💵 PKR 0.25 Million – ✅ Completed (2017)

  • 📈 Phase II Control Charts for Monitoring Dispersion Based on False Alarm Probability
    📌 Status not specified

Publication Top Notes:

EWMA control chart framework for efficient Maxwell quality characteristic monitoring: An application to the aerospace industry

Explainable Transformer-Based Anomaly Detection for Internet of Things Security

Pareto Distribution-Based Shewhart Control Chart for Early Detection of Process Mean Shifts

Adaptive EWMA control charts for the Rayleigh distribution

A probability distribution for precipitation data analysis

 

Dr. Thierry Boileau | System Surveillance Awards | Best Scholar Award

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Dr. Thierry Boileau | System Surveillance Awards | Best Scholar Award

Dr. Thierry Boileau, University of Lorraine, France

Thierry Boileau is an Assistant Professor at the University of Lorraine in France, specifically within the École Nationale Supérieure d’Électricité et de Mécanique (ENSEM) and the Laboratoire d’Énergétique et de Mécanique Théorique et Appliquée (LEMTA). He earned his Ph.D. in Electrical Engineering from INPL Nancy in 2010, with a dissertation focused on the continuity of service for synchronous actuators with permanent magnets, addressing mechanical sensor faults and electrical defect detection. He also holds a Master’s degree in Electrical Engineering from Nancy University and a prestigious French teaching degree, Agrégation de Sciences Physiques.

Professional Profile:

ORCID

Summary of Suitability for Best Scholar Award: Thierry Boileau

Thierry Boileau demonstrates outstanding qualifications for the Best Scholar Award based on his exceptional academic and research achievements in electrical engineering. Below is a detailed evaluation of his suitability

🎓 Academic Education:

  • Ph.D. in Electrical Engineering (2010, INPL Nancy, France)
    • Thesis Title: “Contribution to the Service Continuity of Synchronous Actuators with Permanent Magnets: Tolerance to Mechanical Sensor Failure and Electrical Fault Detection”
  • Master’s Degree in Electrical Engineering (2004, Nancy University, France)
  • French Teaching Degree (Agrégation de Sciences Physiques, 1999)

📚 Background and Achievements:

  • Publications:
    • 19 journal papers (mainly in IEEE Transactions)
    • 20 international conference papers
  • Research Impact:
    • H-index: 15 (as of November 2023, source: Scopus)
    • Citations: 1,337 (as of November 2024, source: Google Scholar)

👨‍🎓 Research Supervision:

  • Master’s Degree Students: 2
  • Ph.D. Students: 7 (3 defended theses and 4 ongoing)

🤝 Industrial Partnerships:

  • Collaborations with 5 industrial partners (including SAFRAN, EADS, SEW, CNC-SNR, etc.)
  • 4 industrial contract reports

🔬 Research Activities:

Thierry’s primary research interests include:

  • Diagnostics and Control of Electrical Machines supplied by static converters.
  • Energy Carrier Management and microgrid technologies.

Publication Top Notes:

Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring

Comparison of high frequency winding modeling for stator health monitoring

Optimal performance identification of a combined free piston Stirling engine with a permanent magnet linear synchronous machine using dedicated controls

PMASynRM Local Demagnetization Fault Behavior Study Under Targeted Harmonic Excitation

A New Coupled Approach for Enthalpy Pumping Consideration in a Free Piston Stirling Engine (FPSE)

Introducing a New System for Energy Recovery of High and Mid-Temperature Renewable Energy Sources: Free Piston Stirling Engine Combined with a Permanent Magnet Linear Synchronous Machine

 

 

 

 

Ms. Ying Liu | Surveillance | Best Researcher Award

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Ms. Ying Liu | Surveillance | Best Researcher Award

Ms. Ying Liu, Northeast Forestry University, China

Jian Xing is currently pursuing a Master’s degree in Computer and Control Engineering at Northeast Forestry University, where he also completed his Bachelor’s degree. His research interests primarily focus on the application of UAV technology in monitoring and enhancing infrastructure, particularly in the field of highway construction. Jian has been actively involved in several notable research projects, including the “Intelligent Monitoring Application of UAV in the Process of Highway Construction,” supported by the Heilongjiang Province Transportation Department’s Research Project and the Science and Technology Project of Heilongjiang Transportation Department (HJK2023B019). He has also contributed to the National Natural Science Foundation project titled “Study on the Prediction Method of Small Dead Fuel Moisture Content of Forest Surface by Land-Space Semi-Physical Model” (Project Number: 32371864). Jian Xing has co-authored several impactful papers, including “Improved YOLOV5-Based UAV Pavement Crack Detection” published in IEEE Sensors Journal (IF: 4.3), “Based on the UAV Cross-Modal YOLOV5 Slope Crack Detection” in Sensors, and “UAV Multispectral Imagery Predicts Dead Fuel Moisture Content” in Forests (IF: 2.9). His research contributions highlight his expertise in UAV-based monitoring systems and their applications in infrastructure and environmental management.

Professional Profile

👨‍🎓 Education:

  • 2022.09-今: Master’s in Computer and Control Engineering, Northeast Forestry University
  • 2016.09-2020.06: Bachelor’s in Computer and Control Engineering, Northeast Forestry University

🔬 Research Focus:

  • Jian Xing has been actively involved in several research projects, including:
    • Research Project of Heilongjiang Province Transportation Department on intelligent monitoring application of UAV in highway construction (Science and Technology Project of Heilongjiang Transportation Department, HJK2023B019)
    • National Natural Science Foundation Project on predicting small dead fuel moisture content of forest surfaces using a land-space semi-physical model (Project number: 32371864)

📄 Publications:

  • Jian Xing has contributed to the following publications:
    • “Improved YOLOV5-Based UAV Pavement Crack Detection” in IEEE Sensors Journal (Impact Factor: 4.3)
    • “Based on the UAV cross-modal YOLOV5 slope crack detection” in Sensors
    • “UAV multispectral imagery predicts dead fuel moisture content” in Forests (Impact Factor: 2.9)

🌟 Achievements:

  • His work has significantly advanced the field of UAV-based pavement and slope crack detection, as well as remote sensing applications in predicting moisture content.

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Publications Notes:📄

Concrete Highway Crack Detection Based on Visible Light and Infrared Silicate Spectrum Image Fusion

UAV Multispectral Imagery Predicts Dead Fuel Moisture Content

Improved YOLOV5-Based UAV Pavement Crack Detection